btergm: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs.

Author
Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]
Date of publication
2016-06-18 18:54:19
Maintainer
Philip Leifeld <philip.leifeld@glasgow.ac.uk>
License
GPL (>= 2)
Version
1.7.6

View on CRAN

Man pages

btergm
TERGM by bootstrapped pseudolikelihood or MCMC MLE
btergm-class
Classes '"btergm"' and '"mtergm"'
btergm-package
Temporal Exponential Random Graph Models by Bootstrapped...
checkdegeneracy
Degeneracy check for btergm and mtergm objects
edgeprob
Compute all dyadic edge probabilities for an ERGM or TERGM.
getformula
Extract the formula from a model.
gofmethods
Conduct Goodness-of-Fit Diagnostics on ERGMs, TERGMs, SAOMs,...
gofplot
Plot and print methods for gof output.
gofstatistics
Statistics for goodness-of-fit assessment of network models
interpret
Interpretation functions for ergm and btergm objects
simulate.btergm
Simulate new networks from btergm objects
tergm-terms
Temporal dependencies for TERGMs
timecov
Create interaction terms between covariates and...

Files in this package

btergm
btergm/inst
btergm/inst/CITATION
btergm/NAMESPACE
btergm/R
btergm/R/btergm.R
btergm/R/checkdegeneracy.R
btergm/R/mtergm.R
btergm/R/timecov.R
btergm/R/gofstatistics.R
btergm/R/interpretation.R
btergm/R/tergmprepare.R
btergm/R/gofmethods.R
btergm/R/gofplot.R
btergm/MD5
btergm/DESCRIPTION
btergm/man
btergm/man/timecov.Rd
btergm/man/tergm-terms.Rd
btergm/man/gofstatistics.Rd
btergm/man/simulate.btergm.Rd
btergm/man/btergm-class.Rd
btergm/man/btergm.Rd
btergm/man/edgeprob.Rd
btergm/man/checkdegeneracy.Rd
btergm/man/btergm-package.Rd
btergm/man/getformula.Rd
btergm/man/interpret.Rd
btergm/man/gofplot.Rd
btergm/man/gofmethods.Rd